Developing a Framework to Identify Potential Firms for Job Assignment
Nowadays, people are searching for companies via the internet to assign different types of software-related tasks. With the growing number of software firms, a problem is arising about which software firm is best suited to perform a particular job. It is
- PDF / 758,516 Bytes
- 10 Pages / 439.37 x 666.142 pts Page_size
- 21 Downloads / 219 Views
Department of CSE, Chittagong University of Engineering and Technology, Chattogram, Bangladesh [email protected], [email protected] 2 Department of CSE, Port City International University, Chattogram, Bangladesh [email protected] 3 Department of CSE, University of Chittagong, Chattogram, Bangladesh [email protected]
Abstract. Nowadays, people are searching for companies via the internet to assign different types of software-related tasks. With the growing number of software firms, a problem is arising about which software firm is best suited to perform a particular job. It is not easy for a certain individual to determine the best software firm for a particular task according to his requirements manually. Therefore, by building a system to recommend the best-suited software firms for a particular job and can minimize the complexity of this important process. In this paper, a recommendation system is introduced which helps any individual or organization by suggesting them the most suited software firm according to his needs. Our system takes input job description and after processing it, suggest the user the best-suited firms according to the job description. The job description is processed by removing stop word, stemming, and extracting keywords. Porter Stemming algorithm is used to stem the job description. From the extracted keywords the job category is identified. From the software firms which have experience in working in the identified category and similar firms to these firms, some decision parameters are calculated. These decision parameters are used to identify the best-suited software firms working in the identified category. Keywords: Recommendation system algorithm
Stemming Pearson correlation
1 Introduction A recommender system is a family of information filtering systems that tries to prophesy the “rating” or “preference” of a user to an item [1, 2]. Over the last few years, recommender systems have become growingly widespread and are adopted in many fields that are dependent on users’ choices to expand their operability. Choosing the contents from online like books, grabbing the relevant research articles, finding the peer-fellows from social sites, searching the reasonable restaurants and hotels, etc. are © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 J. I.-Z. Chen et al. (Eds.): ICIPCN 2020, AISC 1200, pp. 584–593, 2021. https://doi.org/10.1007/978-3-030-51859-2_53
Developing a Framework to Identify Potential Firms
585
all becoming more clear-cut because of the incorporation of the recommender system [3–6]. Selecting suitable organizations for assigning certain kinds of jobs is believed to be a crucial stage of HRM (Human Resource Management). The job assignment process is available in almost all organizations. In the job delegation process, supervisors have to analyze the job to identify the job expertise and obligations of the personages which is a prerequisite to the job ventures. After the analysis supervisors will iden
Data Loading...
